chore(config): 纳入本地硅基流动环境配置

.env

@@ -0,0 +1,19 @@
+DJANGO_SECRET_KEY=replace-with-a-local-secret-key
+DJANGO_DEBUG=true
+DJANGO_ALLOWED_HOSTS=*
+
+# SiliconFlow OpenAI-compatible API
+LLM_PROVIDER=openai_compatible
+LLM_API_KEY=sk-pgvkjondmmrlyxmrfhotgpuirgbtgzrpjpweorhwruflxmxw
+LLM_BASE_URL=https://api.siliconflow.cn/v1
+LLM_MODEL=Qwen/Qwen2.5-7B-Instruct
+
+# SiliconFlow embedding model for RAG
+EMBEDDING_API_KEY=sk-pgvkjondmmrlyxmrfhotgpuirgbtgzrpjpweorhwruflxmxw
+EMBEDDING_BASE_URL=https://api.siliconflow.cn/v1
+EMBEDDING_MODEL=BAAI/bge-m3
+
+SCENARIO_CONFIG_DIR=configs
+GOVERNANCE_CONFIG_PATH=configs/governance.yaml
+UPLOAD_ROOT=data/uploads
+CHROMA_PATH=data/chroma

.gitignore

@@ -1,4 +1,3 @@
-.env
 .venv/
 __pycache__/
 *.py[cod]

config/urls.py

@@ -2,10 +2,11 @@ from django.contrib import admin
 from django.contrib.auth.views import LoginView, LogoutView, PasswordChangeView
 from django.urls import path
 
-from review_agent.views import workspace
+from review_agent.views import stream_chat, workspace
 
 urlpatterns = [
     path("", workspace, name="home"),
+    path("chat/stream/", stream_chat, name="chat_stream"),
     path(
         "login/",
         LoginView.as_view(

docs/原始材料/【模拟题二】试剂盒临床注册文件准备与审核Agent/【模拟题二】试剂盒临床注册文件准备与审核Agent.md

@@ -0,0 +1,62 @@
+**试剂盒临床注册文件准备与审核智能体搭建**
+
+**一、背景**
+
+卡尤迪生物研发团队在推进NMPA（国家药品监督管理局）注册申报时，需准备大量合规性文件，包括产品技术要求、说明书、检测报告、临床评估资料等。
+
+公司计划组建AI Agent新团队，目标为"试剂盒NMPA注册文件准备与审核智能体"，实现文件目录自动汇总、法规完整性检查、关键信息自动提取与填写、缺失文件预警、文档一致性核查，提升注册效率并降低合规风险。
+
+**二、任务目标**
+
+请你作为 AI Agent 工程师候选人，设计并实现（或详细描述）一个智能体，能够：
+
+1. 自动汇总注册申报文件夹中的所有文件及页数
+2. 对照 NMPA 法规要求核查文件完整性并预警缺失
+3. 提取产品关键信息并自动填写至申报文件
+4. 核查文档结构与信息一致性
+5. 输出合规风险预警与处理建议
+
+**三、具体要求如下**
+
+**1. 自动汇总文件夹文件目录与页数。**
+
+文件目录参考附件。
+
+**2. 按照NMPA现行法规要求核查文件完整性。**
+
+- 对照NMPA法规检查所需文件是否齐全（如注册申报资料基本要求、产品技术要求、注册检验报告等）
+- 自动识别缺失文件并通知责任人
+- 参考法规来源网站：
+
+<https://www.cmde.org.cn/xwdt/zxyw/20210930163300622.html、>
+
+<https://www.nmpa.gov.cn/>
+
+**3. 从产品文件中提取关键信息并自动填写至目标文件。**
+
+- 自动提取：产品名称、检测靶标、适用范围、储存条件、性能指标等核心信息
+- 将提取信息自动填入注册申报表格或对照清单
+
+**4. 核查文档结构、信息一致性与章节规范性。**
+
+- 检测章节是否完整（如分析灵敏度、特异性、重复性等必检项目）
+- 不同文档间同一信息是否一致（如产品名称、规格型号等）
+- 格式是否符合NMPA要求的规范章节结构
+
+**5. 提供合规风险预警与处理建议。**
+
+例如："文件X：缺少临床评估报告，请补充"或"产品Y：说明书与检测报告中的适用范围描述不一致，请核对"
+
+**附加要求【在复试时陈述，需结合 Demo 演示】**
+
+**1. 架构搭建思路（基于 Demo 版）**
+
+- 展示Demo运行结果（文件目录汇总表、法规完整性报告、信息提取对照表、异常预警列表）
+- 结合你实现的Demo，说明智能体的整体工作流（如：文件扫描 → 目录汇总 → 法规匹配 → 信息提取 → 一致性核查 → 风险预警）
+- 展示Demo中实际调用的关键工具/库（如 pdfplumber / PyMuPDF、正则表达式、规则引擎、向量检索等），并分析选用理由
+- 简述Demo中如何体现文件完整性检测、信息一致性核查、法规条款匹配等难点规则的处理
+
+**2. 基于 Demo 版的迭代规划**
+
+- 说明当前Demo实现了哪些核心功能，哪些是模拟数据/简化逻辑
+- 下一版本最想增加的一个功能以及需要投入的技术资源（如 NMPA 官网 API 对接、文件版本管理、多语言支持等），并说明为什么优先做它

review_agent/llm.py

@@ -53,6 +53,57 @@ def generate_reply(conversation, user_message: str) -> str:
         raise LLMRequestError("模型接口返回格式不符合预期。") from exc
 
 
+def stream_reply(conversation, user_message: str):
+    """Streams incremental assistant text from the SiliconFlow chat endpoint."""
+
+    if not settings.LLM_API_KEY:
+        raise LLMConfigurationError("缺少 LLM_API_KEY 配置。")
+    if not settings.LLM_MODEL:
+        raise LLMConfigurationError("缺少 LLM_MODEL 配置。")
+
+    payload = {
+        "model": settings.LLM_MODEL,
+        "messages": build_messages(conversation, user_message),
+        "temperature": 0.3,
+        "stream": True,
+    }
+    body = json.dumps(payload).encode("utf-8")
+    endpoint = f"{settings.LLM_BASE_URL.rstrip('/')}/chat/completions"
+
+    http_request = request.Request(
+        endpoint,
+        data=body,
+        headers={
+            "Authorization": f"Bearer {settings.LLM_API_KEY}",
+            "Content-Type": "application/json",
+        },
+        method="POST",
+    )
+
+    try:
+        with request.urlopen(http_request, timeout=300) as response:
+            for raw_line in response:
+                line = raw_line.decode("utf-8", errors="ignore").strip()
+                if not line or not line.startswith("data:"):
+                    continue
+                data = line[5:].strip()
+                if data == "[DONE]":
+                    break
+                payload = json.loads(data)
+                delta = (
+                    payload.get("choices", [{}])[0]
+                    .get("delta", {})
+                    .get("content", "")
+                )
+                if delta:
+                    yield delta
+    except error.HTTPError as exc:
+        details = exc.read().decode("utf-8", errors="ignore")
+        raise LLMRequestError(f"模型接口调用失败：HTTP {exc.code} {details}") from exc
+    except error.URLError as exc:
+        raise LLMRequestError(f"模型接口调用失败：{exc.reason}") from exc
+
+
 def build_messages(conversation, latest_user_message: str) -> list[dict[str, str]]:
     """Builds system and conversation history messages for the provider call."""
 

review_agent/services.py

@@ -1,9 +1,11 @@
 from __future__ import annotations
 
+import json
+
 from django.db.models import Q, QuerySet
 from django.utils import timezone
 
-from .llm import LLMConfigurationError, LLMRequestError, generate_reply
+from .llm import LLMConfigurationError, LLMRequestError, generate_reply, stream_reply
 from .models import Conversation, Message
 
 
@@ -81,6 +83,47 @@ def send_message(conversation: Conversation, content: str) -> tuple[Message, Mes
     return user_message, assistant_message
 
 
+def stream_message(conversation: Conversation, content: str):
+    """Yields SSE events while collecting a streamed assistant reply."""
+
+    user_message = append_user_message(conversation, content)
+    assistant_parts: list[str] = []
+
+    yield sse_event(
+        "meta",
+        {
+            "conversation_id": conversation.pk,
+            "title": conversation.title or build_conversation_title(content),
+            "user_message_id": user_message.pk,
+            "user_message": user_message.content,
+        },
+    )
+
+    try:
+        for chunk in stream_reply(conversation, content):
+            assistant_parts.append(chunk)
+            yield sse_event("chunk", {"delta": chunk})
+    except (LLMConfigurationError, LLMRequestError) as exc:
+        fallback = f"模型调用失败：{exc}"
+        assistant_parts = [fallback]
+        yield sse_event("error", {"message": fallback})
+
+    assistant_message = append_assistant_message(conversation, "".join(assistant_parts).strip())
+
+    if conversation.title.startswith("新对话"):
+        conversation.title = build_conversation_title(content)
+        conversation.save(update_fields=["title", "updated_at"])
+
+    yield sse_event(
+        "done",
+        {
+            "assistant_message_id": assistant_message.pk,
+            "conversation_id": conversation.pk,
+            "title": conversation.title,
+        },
+    )
+
+
 def build_conversation_title(content: str) -> str:
     """Creates a concise title from the first user message."""
 
@@ -88,3 +131,9 @@ def build_conversation_title(content: str) -> str:
     if not normalized:
         return "新对话"
     return normalized[:24]
+
+
+def sse_event(event_name: str, payload: dict[str, object]) -> str:
+    """Formats one server-sent event frame."""
+
+    return f"event: {event_name}\ndata: {json.dumps(payload, ensure_ascii=False)}\n\n"

review_agent/views.py

@@ -1,9 +1,15 @@
 from django.contrib.auth.decorators import login_required
-from django.http import HttpRequest, HttpResponse
+from django.http import HttpRequest, HttpResponse, JsonResponse, StreamingHttpResponse
 from django.shortcuts import redirect, render
 from django.views.decorators.http import require_http_methods
 
-from .services import create_conversation, get_conversation_for_user, list_conversations, send_message
+from .services import (
+    create_conversation,
+    get_conversation_for_user,
+    list_conversations,
+    send_message,
+    stream_message,
+)
 
 
 @login_required
@@ -45,3 +51,25 @@ def workspace(request: HttpRequest) -> HttpResponse:
             "messages": current.messages.all() if current else [],
         },
     )
+
+
+@login_required
+@require_http_methods(["POST"])
+def stream_chat(request: HttpRequest) -> HttpResponse:
+    """Streams one assistant reply so the UI can render incremental output."""
+
+    content = (request.POST.get("prompt") or "").strip()
+    if not content:
+        return JsonResponse({"error": "消息内容不能为空。"}, status=400)
+
+    conversation = get_conversation_for_user(request.user, request.POST.get("conversation_id"))
+    if not conversation:
+        conversation = create_conversation(request.user)
+
+    response = StreamingHttpResponse(
+        streaming_content=stream_message(conversation, content),
+        content_type="text/event-stream",
+    )
+    response["Cache-Control"] = "no-cache"
+    response["X-Accel-Buffering"] = "no"
+    return response

static/css/login.css

@@ -470,14 +470,47 @@ input:focus {
   display: grid;
   grid-template-rows: minmax(0, 1fr) auto;
   min-height: 0;
+  height: calc(100vh - 60px);
   background: #ffffff;
   overflow: hidden;
 }
 
-.chat-scroll {
+.chat-scroll-wrap {
+  position: relative;
   min-height: 0;
-  padding: 32px min(6vw, 64px) 24px;
+  height: 100%;
+}
+
+.chat-scroll {
+  height: 100%;
+  min-height: 0;
+  padding: 32px 104px 24px min(6vw, 64px);
   overflow-y: auto;
+  scroll-behavior: smooth;
+  scrollbar-width: thin;
+  scrollbar-color: #c4cfdd #f4f7fb;
+}
+
+.chat-scroll::-webkit-scrollbar {
+  width: 12px;
+}
+
+.chat-scroll::-webkit-scrollbar-track {
+  background: #f4f7fb;
+}
+
+.chat-scroll::-webkit-scrollbar-thumb {
+  border: 3px solid #f4f7fb;
+  border-radius: 999px;
+  background: #c4cfdd;
+}
+
+.chat-scroll::-webkit-scrollbar-thumb:hover {
+  background: #a9b8ca;
+}
+
+.hidden {
+  display: none;
 }
 
 .conversation-header,
@@ -533,10 +566,92 @@ input:focus {
   margin: 0;
 }
 
+.message-bubble.streaming {
+  position: relative;
+}
+
+.message-bubble.streaming::after {
+  content: "";
+  display: inline-block;
+  width: 8px;
+  height: 18px;
+  margin-left: 6px;
+  border-radius: 999px;
+  background: var(--accent);
+  vertical-align: middle;
+  animation: pulse-caret 0.9s ease-in-out infinite;
+}
+
+.message,
+.conversation-header {
+  scroll-margin-top: 20px;
+}
+
 .user-mark {
   background: #dbe7ff;
 }
 
+.node-rail {
+  position: absolute;
+  top: 28px;
+  right: 28px;
+  bottom: 28px;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  gap: 14px;
+  width: 28px;
+  pointer-events: none;
+}
+
+.node-rail-line {
+  position: absolute;
+  top: 10px;
+  bottom: 10px;
+  left: 50%;
+  width: 2px;
+  transform: translateX(-50%);
+  background: linear-gradient(180deg, #eef3fa 0%, #d6dfeb 100%);
+  border-radius: 999px;
+}
+
+.node-anchor {
+  position: relative;
+  z-index: 1;
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  width: 20px;
+  height: 20px;
+  border-radius: 999px;
+  text-decoration: none;
+  pointer-events: auto;
+}
+
+.node-dot {
+  width: 12px;
+  height: 12px;
+  border: 2px solid #d8e0eb;
+  border-radius: 999px;
+  background: #f5f8fc;
+  transition: transform 140ms ease, background 140ms ease, border-color 140ms ease;
+}
+
+.node-anchor:hover .node-dot {
+  transform: scale(1.08);
+  border-color: #9eb5df;
+}
+
+.node-anchor.active .node-dot {
+  border-color: var(--accent);
+  background: var(--accent);
+}
+
+.node-anchor.latest .node-dot {
+  background: #7f8da3;
+  border-color: #7f8da3;
+}
+
 .composer-wrap {
   padding: 18px 24px 24px;
   border-top: 1px solid var(--line);
@@ -604,6 +719,11 @@ input:focus {
   font-weight: 700;
 }
 
+.send-button:disabled {
+  background: #a8bee8;
+  cursor: wait;
+}
+
 .sr-only {
   position: absolute;
   width: 1px;
@@ -693,6 +813,18 @@ input:focus {
   .conversation-header {
     flex-direction: column;
   }
+
+  .chat-stage {
+    height: calc(100vh - 88px);
+  }
+
+  .chat-scroll {
+    padding-right: 72px;
+  }
+
+  .node-rail {
+    right: 14px;
+  }
 }
 
 @media (max-width: 640px) {
@@ -738,4 +870,37 @@ input:focus {
   .send-button {
     width: 100%;
   }
+
+  .chat-shell {
+    padding: 0;
+  }
+
+  .chat-stage {
+    height: calc(100vh - 126px);
+  }
+
+  .chat-scroll {
+    padding-right: 44px;
+  }
+
+  .node-rail {
+    right: 8px;
+    gap: 10px;
+    width: 20px;
+  }
+
+.node-dot {
+    width: 10px;
+    height: 10px;
+  }
+}
+
+@keyframes pulse-caret {
+  0%,
+  100% {
+    opacity: 0.25;
+  }
+  50% {
+    opacity: 1;
+  }
 }

static/js/app.js

@@ -4,6 +4,14 @@
   var mobileSidebarToggle = document.getElementById("mobileSidebarToggle");
   var userMenu = document.getElementById("userMenu");
   var userMenuTrigger = document.getElementById("userMenuTrigger");
+  var chatScroll = document.getElementById("chatScroll");
+  var nodeRail = document.getElementById("nodeRail");
+  var composer = document.getElementById("chatComposer");
+  var promptInput = document.getElementById("prompt");
+  var sendButton = document.getElementById("sendButton");
+  var conversationIdInput = document.getElementById("conversationIdInput");
+  var chatStage = document.querySelector(".chat-stage");
+  var nodeAnchors = [];
 
   if (!workspace) {
     return;
@@ -32,6 +40,10 @@
     }
   }
 
+  function refreshNodeAnchors() {
+    nodeAnchors = Array.prototype.slice.call(document.querySelectorAll(".node-anchor"));
+  }
+
   if (sidebarToggle) {
     sidebarToggle.addEventListener("click", toggleSidebar);
   }
@@ -54,6 +66,340 @@
     });
   }
 
+  function setActiveNode() {
+    if (!chatScroll || !nodeAnchors.length) {
+      return;
+    }
+
+    var activeTarget = nodeAnchors[0].getAttribute("data-target");
+    var scrollTop = chatScroll.scrollTop;
+    var threshold = 80;
+
+    nodeAnchors.forEach(function (anchor) {
+      var targetId = anchor.getAttribute("data-target");
+      var target = document.getElementById(targetId);
+      if (!target) {
+        return;
+      }
+
+      if (target.offsetTop - threshold <= scrollTop) {
+        activeTarget = targetId;
+      }
+    });
+
+    nodeAnchors.forEach(function (anchor) {
+      anchor.classList.toggle("active", anchor.getAttribute("data-target") === activeTarget);
+    });
+  }
+
+  function bindNodeAnchorClicks() {
+    if (!chatScroll) {
+      return;
+    }
+    nodeAnchors.forEach(function (anchor) {
+      if (anchor.dataset.bound === "true") {
+        return;
+      }
+      anchor.dataset.bound = "true";
+      anchor.addEventListener("click", function (event) {
+        event.preventDefault();
+        var targetId = anchor.getAttribute("data-target");
+        var target = document.getElementById(targetId);
+        if (!target) {
+          return;
+        }
+        chatScroll.scrollTo({
+          top: Math.max(target.offsetTop - 20, 0),
+          behavior: "smooth",
+        });
+      });
+    });
+  }
+
+  function ensureNodeRailVisible() {
+    if (nodeRail) {
+      nodeRail.classList.remove("hidden");
+    }
+  }
+
+  function syncNodeRailVisibility() {
+    if (!nodeRail) {
+      return;
+    }
+    refreshNodeAnchors();
+    if (nodeAnchors.length) {
+      nodeRail.classList.remove("hidden");
+    } else {
+      nodeRail.classList.add("hidden");
+    }
+  }
+
+  function escapeHtml(text) {
+    return text
+      .replace(/&/g, "&amp;")
+      .replace(/</g, "&lt;")
+      .replace(/>/g, "&gt;")
+      .replace(/\"/g, "&quot;")
+      .replace(/'/g, "&#039;");
+  }
+
+  function nl2br(text) {
+    return escapeHtml(text).replace(/\n/g, "<br>");
+  }
+
+  function scrollChatToBottom() {
+    if (chatScroll) {
+      chatScroll.scrollTop = chatScroll.scrollHeight;
+    }
+  }
+
+  function createMessage(role, content, messageId, label) {
+    var article = document.createElement("article");
+    article.className = "message " + role;
+    article.id = messageId;
+    if (label) {
+      article.setAttribute("data-node-label", label);
+    }
+
+    var avatar = document.createElement("div");
+    avatar.className = "message-avatar" + (role === "user" ? " user-mark" : "");
+    avatar.textContent = role === "assistant" ? "AI" : userMenuTrigger.querySelector(".avatar").textContent.trim();
+
+    var bubble = document.createElement("div");
+    bubble.className = "message-bubble";
+
+    var text = document.createElement("p");
+    text.innerHTML = nl2br(content);
+    bubble.appendChild(text);
+
+    article.appendChild(avatar);
+    article.appendChild(bubble);
+    chatScroll.appendChild(article);
+    return { article: article, bubble: bubble, text: text };
+  }
+
+  function appendNode(targetId, title, isLatest) {
+    if (!nodeRail) {
+      return;
+    }
+    ensureNodeRailVisible();
+    var anchor = document.createElement("a");
+    anchor.className = "node-anchor" + (isLatest ? " latest" : "");
+    anchor.href = "#" + targetId;
+    anchor.setAttribute("data-target", targetId);
+    anchor.title = title;
+
+    var dot = document.createElement("span");
+    dot.className = "node-dot";
+    anchor.appendChild(dot);
+    nodeRail.appendChild(anchor);
+    syncNodeRailVisibility();
+    bindNodeAnchorClicks();
+    setActiveNode();
+  }
+
+  function updateSidebarConversation(conversationId, title) {
+    if (!conversationId || !title) {
+      return;
+    }
+    var encodedTitle = title;
+    var existing = document.querySelector('.history-item[href*="conversation=' + conversationId + '"]');
+    var list = document.querySelector(".history-list");
+    var currentTime = new Date();
+    var month = String(currentTime.getMonth() + 1).padStart(2, "0");
+    var day = String(currentTime.getDate()).padStart(2, "0");
+    var hours = String(currentTime.getHours()).padStart(2, "0");
+    var minutes = String(currentTime.getMinutes()).padStart(2, "0");
+    var meta = month + "月" + day + "日 " + hours + ":" + minutes;
+
+    document.querySelectorAll(".history-item.active").forEach(function (item) {
+      item.classList.remove("active");
+    });
+
+    if (existing) {
+      existing.classList.add("active");
+      existing.querySelector(".history-title").textContent = encodedTitle;
+      existing.querySelector(".history-meta").textContent = meta;
+      if (list.firstElementChild !== existing) {
+        list.prepend(existing);
+      }
+      return;
+    }
+
+    if (!list) {
+      return;
+    }
+
+    var empty = list.querySelector(".history-empty");
+    if (empty) {
+      empty.remove();
+    }
+
+    var item = document.createElement("a");
+    item.className = "history-item active";
+    item.href = "/?conversation=" + conversationId;
+    item.innerHTML =
+      '<span class="history-title">' +
+      escapeHtml(encodedTitle) +
+      '</span><span class="history-meta">' +
+      meta +
+      "</span>";
+    list.prepend(item);
+  }
+
+  function setConversationTitle(title) {
+    if (!title) {
+      return;
+    }
+    var header = document.querySelector(".conversation-header h1");
+    var empty = document.querySelector(".empty-state");
+    if (empty) {
+      empty.remove();
+      var headerWrap = document.createElement("div");
+      headerWrap.className = "conversation-header";
+      headerWrap.id = "conversation-top";
+      headerWrap.setAttribute("data-node-label", "会话开始");
+      headerWrap.innerHTML =
+        '<div><p class="eyebrow">审核智能体</p><h1>' +
+        escapeHtml(title) +
+        '</h1></div><span class="conversation-meta">正在生成回复</span>';
+      chatScroll.prepend(headerWrap);
+      return;
+    }
+    if (header) {
+      header.textContent = title;
+    }
+  }
+
+  async function streamChat(event) {
+    event.preventDefault();
+    if (!composer || !promptInput || !sendButton || !chatStage) {
+      return;
+    }
+
+    var prompt = promptInput.value.trim();
+    if (!prompt || sendButton.disabled) {
+      return;
+    }
+
+    sendButton.disabled = true;
+    sendButton.textContent = "生成中...";
+
+    var formData = new FormData(composer);
+    var csrfToken = formData.get("csrfmiddlewaretoken");
+    var streamUrl = chatStage.getAttribute("data-stream-url");
+    var tempUserId = "message-user-temp-" + Date.now();
+    var tempAssistantId = "message-ai-temp-" + (Date.now() + 1);
+    var userLabel = "用户 " + (document.querySelectorAll(".message").length + 1);
+
+    setConversationTitle((prompt || "").slice(0, 24));
+    var userMessage = createMessage("user", prompt, tempUserId, userLabel);
+    var assistantMessage = createMessage("assistant", "", tempAssistantId, "");
+    assistantMessage.bubble.classList.add("streaming");
+    appendNode(userMessage.article.id, userLabel, false);
+    scrollChatToBottom();
+    promptInput.value = "";
+
+    try {
+      var response = await fetch(streamUrl, {
+        method: "POST",
+        headers: {
+          "X-CSRFToken": csrfToken,
+        },
+        body: formData,
+      });
+
+      if (!response.ok || !response.body) {
+        throw new Error("流式请求失败。");
+      }
+
+      var reader = response.body.getReader();
+      var decoder = new TextDecoder("utf-8");
+      var buffer = "";
+      var assistantText = "";
+
+      while (true) {
+        var readResult = await reader.read();
+        if (readResult.done) {
+          break;
+        }
+
+        buffer += decoder.decode(readResult.value, { stream: true });
+        var events = buffer.split("\n\n");
+        buffer = events.pop();
+
+        events.forEach(function (frame) {
+          var eventName = "";
+          var dataText = "";
+          frame.split("\n").forEach(function (line) {
+            if (line.indexOf("event:") === 0) {
+              eventName = line.slice(6).trim();
+            }
+            if (line.indexOf("data:") === 0) {
+              dataText += line.slice(5).trim();
+            }
+          });
+
+          if (!eventName || !dataText) {
+            return;
+          }
+
+          var payload = JSON.parse(dataText);
+          if (eventName === "meta") {
+            if (payload.conversation_id) {
+              conversationIdInput.value = payload.conversation_id;
+              window.history.replaceState({}, "", "/?conversation=" + payload.conversation_id);
+            }
+            if (payload.title) {
+              setConversationTitle(payload.title);
+              updateSidebarConversation(payload.conversation_id, payload.title);
+            }
+          } else if (eventName === "chunk") {
+            assistantText += payload.delta || "";
+            assistantMessage.text.innerHTML = nl2br(assistantText);
+            scrollChatToBottom();
+          } else if (eventName === "error") {
+            assistantText = payload.message || "模型调用失败。";
+            assistantMessage.text.innerHTML = nl2br(assistantText);
+          } else if (eventName === "done") {
+            if (payload.assistant_message_id) {
+              assistantMessage.article.id = "message-" + payload.assistant_message_id;
+            }
+            if (payload.title) {
+              setConversationTitle(payload.title);
+              updateSidebarConversation(payload.conversation_id, payload.title);
+            }
+          }
+        });
+      }
+
+      assistantMessage.bubble.classList.remove("streaming");
+      syncNodeRailVisibility();
+      bindNodeAnchorClicks();
+      setActiveNode();
+      scrollChatToBottom();
+    } catch (error) {
+      assistantMessage.bubble.classList.remove("streaming");
+      assistantMessage.text.textContent = "请求失败，请稍后重试。";
+    } finally {
+      sendButton.disabled = false;
+      sendButton.textContent = "发送";
+      promptInput.focus();
+    }
+  }
+
+  syncNodeRailVisibility();
+  bindNodeAnchorClicks();
+
+  if (chatScroll) {
+    chatScroll.addEventListener("scroll", setActiveNode, { passive: true });
+    setActiveNode();
+  }
+
+  if (composer) {
+    composer.addEventListener("submit", streamChat);
+  }
+
   window.addEventListener("resize", syncSidebarState);
   syncSidebarState();
 })();

templates/home.html

@@ -92,10 +92,11 @@
       </div>
     </header>
 
-    <section class="chat-stage">
-      <div class="chat-scroll">
+    <section class="chat-stage" data-stream-url="{% url 'chat_stream' %}">
+      <div class="chat-scroll-wrap">
+      <div class="chat-scroll" id="chatScroll">
         {% if current_conversation %}
-          <div class="conversation-header">
+          <div class="conversation-header" id="conversation-top" data-node-label="会话开始">
             <div>
               <p class="eyebrow">审核智能体</p>
               <h1>{{ current_conversation.title|default:"新对话" }}</h1>
@@ -104,7 +105,11 @@
           </div>
 
           {% for message in messages %}
-            <article class="message {{ message.role }}">
+            <article
+              class="message {{ message.role }}"
+              id="message-{{ message.pk }}"
+              data-node-label="{% if message.role == 'assistant' %}AI{% else %}用户{% endif %} {{ forloop.counter }}"
+            >
               <div class="message-avatar{% if message.role == 'user' %} user-mark{% endif %}">
                 {% if message.role == "assistant" %}AI{% else %}{{ request.user.username|slice:":1"|upper }}{% endif %}
               </div>
@@ -121,14 +126,30 @@
           </div>
         {% endif %}
       </div>
+        <nav class="node-rail{% if not current_conversation %} hidden{% endif %}" id="nodeRail" aria-label="对话节点导航">
+          <div class="node-rail-line"></div>
+          {% if current_conversation %}
+          {% for message in messages %}
+            {% if message.role == "user" %}
+            <a
+              class="node-anchor{% if forloop.last %} latest{% endif %}"
+              href="#message-{{ message.pk }}"
+              data-target="message-{{ message.pk }}"
+              title="用户 {{ forloop.counter }}"
+            >
+              <span class="node-dot"></span>
+            </a>
+            {% endif %}
+          {% endfor %}
+          {% endif %}
+        </nav>
+      </div>
 
       <div class="composer-wrap">
-        <form class="composer" action="/" method="post">
+        <form class="composer" action="/" method="post" id="chatComposer">
           {% csrf_token %}
           <input type="hidden" name="action" value="send_message">
-          {% if current_conversation %}
-            <input type="hidden" name="conversation_id" value="{{ current_conversation.pk }}">
-          {% endif %}
+          <input type="hidden" name="conversation_id" id="conversationIdInput" value="{% if current_conversation %}{{ current_conversation.pk }}{% endif %}">
           <label class="sr-only" for="prompt">输入消息</label>
           <textarea id="prompt" name="prompt" rows="1" placeholder="输入审核问题、法规条款、说明书疑点或上传需求"></textarea>
           <div class="composer-actions">
@@ -137,7 +158,7 @@
               <span class="tool-chip passive-chip">说明书审核</span>
               <span class="tool-chip passive-chip">风险识别</span>
             </div>
-            <button class="send-button" type="submit">发送</button>
+            <button class="send-button" type="submit" id="sendButton">发送</button>
           </div>
         </form>
       </div>